Object storage integration SQL Server 2022 (16.x) introduces new object storage integration to the data platform, enabling you to integrate SQL Server with S3-compatible object storage, in addition to Azure Storage. The first is backup to URL and the second is Data Lake Virtualization.Data Lake...
Support for SQL Server 2017 on Windows and Linux is in public preview and shouldn't be used for production migrations. Support for conversion of Sybase functions. SSMA v7.5 The v7.5 release of SSMA for SAP ASE (formerly SSMA for Sybase) contains the following changes: Several improvements to...
Virtual log file growthIn previous versions of SQL Server, if the next growth is more than 1/8 of the current log size, and the growth is less than 64MB, four VLFs were created. In SQL Server 2022 (16.x), this behavior is slightly different. Only one VLF is created if the growth ...
Always Encrypted: When enabled, only the application that has the encryption key can access the encrypted sensitive data in the SQL Server 2016 database. The key is never passed to SQL Server. Dynamic Data Masking: If specified in the table definition, masked data is hidden from most users,...
Always Encrypted:When enabled, only the application that has the encryption key can access the encrypted sensitive data in the SQL Server 2016 database. The key is never passed to SQL Server. Dynamic Data Masking:If specified in the table definition, masked data is hidden from most users, and...
The following example defines the columns to be returned for rows in the Internet Sales table in the sample Adventure Works tabular model: DAX Copy SELECTCOLUMNS( 'Internet Sales', "Customer First Name", RELATED( Customer[Last Name]), "Customer Last Name", RELATED( Customer[First Name]), ...
The following example defines the columns to be returned for rows in the Internet Sales table in the sample Adventure Works tabular model: DAX Copy SELECTCOLUMNS( 'Internet Sales', "Customer First Name", RELATED( Customer[Last Name]), "Customer Last Name", RELATED( Customer[First Name]), ...
Technique #1: How to find duplicate values in SQL table Identifyingduplicate valuesin a database is essential for maintaining data integrity and accuracy. To find duplicate values in an SQL table, you can utilize the “GROUP BY” and “HAVING” clauses along with aggregate functions. ...
In MySQL, which is a particular kind of relational database based on structured query language (SQL), data is stored in the form of tables with rows and columns. Every record stored in a MySQL table is indexed, making it easy to access and change the data. MySQL is a high-performance ...
The following example defines the columns to be returned for rows in the Internet Sales table in the sample Adventure Works tabular model: DAX Copy SELECTCOLUMNS( 'Internet Sales', "Customer First Name", RELATED( Customer[Last Name]), "Customer Last Name", RELATED( Customer[First Name]), ...